pyr0ball
51c3b769aa
Adds app/services/diagnose.py with parse_time_window() (dateparser-backed NL time phrase extraction with 60-min fallback) and diagnose() (layered FTS + window search returning severity/source summary). Includes 5 TDD tests.
93 lines
3.2 KiB
Python
93 lines
3.2 KiB
Python
"""Frictionless diagnose service — NL time extraction + layered log search."""
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from __future__ import annotations
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import re
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from datetime import datetime, timedelta, timezone
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from pathlib import Path
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from app.services.search import SearchResult, entries_in_window, search
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try:
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from dateparser.search import search_dates as _search_dates # type: ignore[import]
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_HAS_DATEPARSER = True
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except ImportError:
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_search_dates = None # type: ignore[assignment]
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_HAS_DATEPARSER = False
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def parse_time_window(query: str) -> tuple[str | None, str | None, str]:
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"""Extract a time window from a natural-language query string.
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Returns (since_iso, until_iso, keywords) where keywords is the query with
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the matched time phrase stripped. Falls back to last-60-min window.
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"""
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if _HAS_DATEPARSER and _search_dates is not None:
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results = _search_dates(query, languages=["en"], settings={"PREFER_DATES_FROM": "past"})
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if results:
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phrase, dt = results[0]
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if dt.tzinfo is None:
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dt = dt.replace(tzinfo=timezone.utc)
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since = (dt - timedelta(minutes=30)).isoformat()
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until = (dt + timedelta(minutes=30)).isoformat()
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keywords = re.sub(r"\s{2,}", " ", query.replace(phrase, " ").strip())
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return since, until, keywords or query
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return _last_n_minutes(60), _now_iso(), query
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def diagnose(
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db_path: Path,
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query: str,
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since: str | None = None,
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until: str | None = None,
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) -> dict:
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"""Run layered log search with NL time extraction. Returns summary + entries."""
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time_detected = since is not None or until is not None
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if since is None or until is None:
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parsed_since, parsed_until, keywords = parse_time_window(query)
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since = since or parsed_since
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until = until or parsed_until
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time_detected = keywords != query
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else:
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keywords = query
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keyword_hits = search(db_path, query=keywords, since=since, until=until, limit=150, or_mode=True)
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window_hits = entries_in_window(db_path, since=since, until=until, limit=50)
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seen: set[str] = set()
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combined: list[SearchResult] = []
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for r in keyword_hits + window_hits:
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if r.entry_id not in seen:
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seen.add(r.entry_id)
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combined.append(r)
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combined.sort(key=lambda r: (r.timestamp_iso or "\xff", r.sequence))
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combined = combined[:200]
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by_severity: dict[str, int] = {"CRITICAL": 0, "ERROR": 0, "WARN": 0, "INFO": 0}
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by_source: dict[str, int] = {}
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for r in combined:
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sev = (r.severity or "INFO").upper()
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if sev in by_severity:
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by_severity[sev] += 1
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by_source[r.source_id] = by_source.get(r.source_id, 0) + 1
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return {
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"summary": {
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"total": len(combined),
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"window_start": since,
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"window_end": until,
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"time_detected": time_detected,
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"by_severity": by_severity,
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"by_source": by_source,
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},
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"entries": combined,
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}
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def _now_iso() -> str:
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return datetime.now(timezone.utc).isoformat()
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def _last_n_minutes(n: int) -> str:
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return (datetime.now(timezone.utc) - timedelta(minutes=n)).isoformat()
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